update readme-pl

updated

translations/README-pl.md

@@ -60,47 +60,47 @@ Jeśli chcesz być inżynierem ds. niezawodności i bezpieczeństwa lub systemó
 
 ## Spis treści
 
-- [Co to jest?](#what-is-it)
+- [Co to jest?](#co-to-jest)
-- [Dlaczego z tego korzystać?](#why-use-it)
+- [Dlaczego z tego korzystać?](#dlaczego-z-tego-korzystać)
-- [How to use it](#how-to-use-it)
+- [Jak tego używać](#jak-tego-używać)
-- [Nie czuj, że nie jesteś wystarczająco mądry](#dont-feel-you-arent-smart-enough)
+- [Nie uważaj, że jesteś niewystarczająco mądry](#nie-uważaj-że-jesteś-niewystarczająco-mądry)
-- [Informacje o materiałach wideo](#about-video-resources)
+- [Informacje o materiałach wideo](#informacje-o-materiałach-wideo)
-- [Proces rozmowy i ogólne przygotowanie do rekrutacji](#interview-process--general-interview-prep)
+- [Proces rozmowy i ogólne przygotowanie do rekrutacji](#proces-rozmowy-i-ogólne-przygotowanie-do-rekrutacji)
-- [Wybierz jeden język do rozmowy kwalifikacyjnej](#pick-one-language-for-the-interview)
+- [Wybierz jeden język do rozmowy kwalifikacyjnej](#wybierz-jeden-język-do-rozmowy-kwalifikacyjnej)
-- [Lista książek](#book-list)
+- [Lista książek](#lista-książek)
-- [Before you Get Started](#before-you-get-started)
+- [Zanim zaczniesz](#zanim-zaczniesz)
-- [What you Won't See Covered](#what-you-wont-see-covered)
+- [Czego tutaj nie zobaczysz](#czego-tutaj-nie-zobaczysz)
-- [Prerequisite Knowledge](#prerequisite-knowledge)
+- [Wymagana wiedza](#wymagana-wiedza)
-- [The Daily Plan](#the-daily-plan)
+- [Plan dzienny](#plan-dzienny)
-- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis)
+- [Złożoność algorytmiczna / Big-O / Analiza asymptotyczna](#złożoność-algorytmiczna--big-o--analiza-asymptotyczna)
-- [Data Structures](#data-structures)
+- [Struktury danych](#struktury-danych)
     - [Arrays](#arrays)
     - [Linked Lists](#linked-lists)
     - [Stack](#stack)
     - [Queue](#queue)
     - [Hash table](#hash-table)
-- [More Knowledge](#more-knowledge)
+- [Więcej wiedzy](#więcej-wiedzy)
     - [Binary search](#binary-search)
     - [Bitwise operations](#bitwise-operations)
-- [Trees](#trees)
+- [Drzewa](#drzewa)
     - [Trees - Notes & Background](#trees---notes--background)
     - [Binary search trees: BSTs](#binary-search-trees-bsts)
     - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap)
     - balanced search trees (general concept, not details)
     - traversals: preorder, inorder, postorder, BFS, DFS
-- [Sorting](#sorting)
+- [Sortowanie](#sortowanie)
     - selection
     - insertion
     - heapsort
     - quicksort
     - merge sort
-- [Graphs](#graphs)
+- [Grafy](#grafy)
     - directed
     - undirected
     - adjacency matrix
     - adjacency list
     - traversals: BFS, DFS
-- [Even More Knowledge](#even-more-knowledge)
+- [Znów więcej wiedzy](#znów-więcej-wiedzy)
     - [Recursion](#recursion)
     - [Dynamic Programming](#dynamic-programming)
     - [Object-Oriented Programming](#object-oriented-programming)
@@ -117,15 +117,15 @@ Jeśli chcesz być inżynierem ds. niezawodności i bezpieczeństwa lub systemó
     - [Unicode](#unicode)
     - [Endianness](#endianness)
     - [Networking](#networking)
-- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience)
+- [Projektowanie systemu, skalowalność, przetwarzanie danych](#projektowanie-systemu-skalowalność-przetwarzanie-danych) (jeśli masz 4+ lat doświadczenia)
-- [Final Review](#final-review)
+- [Końcowa rozmowa rekrutacyjna](#końcowa-rozmowa-rekrutacyjna)
-- [Coding Question Practice](#coding-question-practice)
+- [Praktyka kodowania](#praktyka-kodowania)
-- [Coding exercises/challenges](#coding-exerciseschallenges)
+- [Zadania/wyzwania programistyczne](#zadania-wyzwania-programistyczne)
-- [Once you're closer to the interview](#once-youre-closer-to-the-interview)
+- [Gdy już jesteś bliżej rozmowy rekrutacyjnej](#gdy-już-jesteś-bliżej-rozmowy-rekrutacyjnej)
-- [Your Resume](#your-resume)
+- [Twoje CV](#twoje-cv)
-- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes)
+- [Zastanów się, kiedy rozmowa kwalifikacyjna będzie nadchodzić](#zastanów-się-kiedy-rozmowa-kwalifikacyjna-będzie-nadchodzić)
-- [Have questions for the interviewer](#have-questions-for-the-interviewer)
+- [Pytania dla rekrutera](#pytania-dla-rekrutera)
-- [Once You've Got The Job](#once-youve-got-the-job)
+- [Gdy już zdobędziesz pracę](#gdy-już-zdobędziesz-pracę)
 
 ---------------- Wszystko poniżej tego punktu jest nadprogramowe ----------------
 
@@ -133,21 +133,21 @@ Jeśli chcesz być inżynierem ds. niezawodności i bezpieczeństwa lub systemó
 
 - [Additional Books](#additional-books)
 - [Additional Learning](#additional-learning)
-    - [Compilers](#compilers)
+    - [Kompilatory](#kompilatory)
-    - [Emacs and vi(m)](#emacs-and-vim)
+    - [Emacs oraz vi(m)](#emacs-oraz-vim)
-    - [Unix command line tools](#unix-command-line-tools)
+    - [Narzędzia wiersza poleceń systemu Unix](#narzędzia-wiersza-poleceń-systemu-unix)
-    - [Information theory](#information-theory-videos)
+    - [Teoria informacji](#teoria-informacji-filmy)
     - [Parity & Hamming Code](#parity--hamming-code-videos)
-    - [Entropy](#entropy)
+    - [Entropia](#entropia)
-    - [Cryptography](#cryptography)
+    - [Kryptografia](#kryptografia)
-    - [Compression](#compression)
+    - [Kompresja](#kompresja)
-    - [Computer Security](#computer-security)
+    - [Bezpieczeństwo komputerowe](#bezpieczeństwo-komputerowe)
-    - [Garbage collection](#garbage-collection)
+    - [Garbage collection - Odśmiecanie pamięci](#garbage-collection--odśmiecanie-pamięci)
     - [Parallel Programming](#parallel-programming)
     - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems)
     - [A*](#a)
-    - [Fast Fourier Transform](#fast-fourier-transform)
+    - [Szybka transformata Fouriera](#szybka-transformata-fouriera)
-    - [Bloom Filter](#bloom-filter)
+    - [Filtr Blooma](#filtr-blooma)
     - [HyperLogLog](#hyperloglog)
     - [Locality-Sensitive Hashing](#locality-sensitive-hashing)
     - [van Emde Boas Trees](#van-emde-boas-trees)
@@ -165,15 +165,15 @@ Jeśli chcesz być inżynierem ds. niezawodności i bezpieczeństwa lub systemó
     - [Network Flows](#network-flows)
     - [Disjoint Sets & Union Find](#disjoint-sets--union-find)
     - [Math for Fast Processing](#math-for-fast-processing)
-    - [Treap](#treap)
+    - [Sterta](#sterta)
-    - [Linear Programming](#linear-programming-videos)
+    - [Programowanie liniowe](#programowanie-liniowe)
     - [Geometry, Convex hull](#geometry-convex-hull-videos)
-    - [Discrete math](#discrete-math)
+    - [Matematyka dyskretna](#matematyka-dyskretna)
-    - [Machine Learning](#machine-learning)
+    - [Machine Learning - Uczenie maszynowe](#machine-learning--uczenie-maszynowe)
-- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects)
+- [Dodatkowe szczegóły na niektóre tematy](#dodatkowe-szczegóły-na-niektóre-tematy)
-- [Video Series](#video-series)
+- [Serie wideo](#serie-wideo)
-- [Computer Science Courses](#computer-science-courses)
+- [Kursy Computer Science](#kursy-computer-science)
-- [Papers](#papers)
+- [Literatura](#literatura)
 
 ---
 
@@ -523,7 +523,7 @@ Napisz kod na tablicy lub papierze, a nie na komputerze. Testuj z niektórymi pr
         - [ ] [Singly Linked Lists (wideo)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists)
         - [ ] [CS 61B - Linked Lists 1 (wideo)](https://archive.org/details/ucberkeley_webcast_htzJdKoEmO0)
         - [ ] [CS 61B - Linked Lists 2 (wideo)](https://archive.org/details/ucberkeley_webcast_-c4I3gFYe3w)
-    - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo)
+    - [ ] [C Code (wideo)](https://www.youtube.com/watch?v=QN6FPiD0Gzo)
             - not the whole video, just portions about Node struct and memory allocation.
     - [ ] Linked List vs Arrays:
         - [Core Linked Lists Vs Arrays (wideo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays)
@@ -745,25 +745,25 @@ Napisz kod na tablicy lub papierze, a nie na komputerze. Testuj z niektórymi pr
     - [ ] [4. Comparators](https://www.coursera.org/learn/algorithms-part1/lecture/9FYhS/comparators)
     - [ ] [5. Stability](https://www.coursera.org/learn/algorithms-part1/lecture/pvvLZ/stability)
 
-- [ ] [Sedgewick - Quicksort (4 videos)](https://www.coursera.org/learn/algorithms-part1/home/week/3)
+- [ ] [Sedgewick - Quicksort (4 wideo)](https://www.coursera.org/learn/algorithms-part1/home/week/3)
     - [ ] [1. Quicksort](https://www.coursera.org/learn/algorithms-part1/lecture/vjvnC/quicksort)
     - [ ] [2. Selection](https://www.coursera.org/learn/algorithms-part1/lecture/UQxFT/selection)
     - [ ] [3. Duplicate Keys](https://www.coursera.org/learn/algorithms-part1/lecture/XvjPd/duplicate-keys)
     - [ ] [4. System Sorts](https://www.coursera.org/learn/algorithms-part1/lecture/QBNZ7/system-sorts)
 
 - [ ] UC Berkeley:
-    - [ ] [CS 61B Lecture 29: Sorting I (video)](https://archive.org/details/ucberkeley_webcast_EiUvYS2DT6I)
+    - [ ] [CS 61B Wykład 29: Sortowanie I (wideo)](https://archive.org/details/ucberkeley_webcast_EiUvYS2DT6I)
-    - [ ] [CS 61B Lecture 30: Sorting II (video)](https://archive.org/details/ucberkeley_webcast_2hTY3t80Qsk)
+    - [ ] [CS 61B Wykład 30: Sortowanie II (wideo)](https://archive.org/details/ucberkeley_webcast_2hTY3t80Qsk)
-    - [ ] [CS 61B Lecture 32: Sorting III (video)](https://archive.org/details/ucberkeley_webcast_Y6LOLpxg6Dc)
+    - [ ] [CS 61B Wykład 32: Sortowanie III (wideo)](https://archive.org/details/ucberkeley_webcast_Y6LOLpxg6Dc)
-    - [ ] [CS 61B Lecture 33: Sorting V (video)](https://archive.org/details/ucberkeley_webcast_qNMQ4ly43p4)
+    - [ ] [CS 61B Wykład 33: Sortowanie V (wideo)](https://archive.org/details/ucberkeley_webcast_qNMQ4ly43p4)
 
-- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB)
+- [ ] [Sortowanie bąbelkowe (wideo)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB)
-- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB)
+- [ ] [Analiza sortowania bąbelkowego (wideo)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB)
-- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
+- [ ] [Sortowanie przez wstawianie, Sortowanie przez scalanie (wideo)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
-- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB)
+- [ ] [Sortowanie przez wstawianie (wideo)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB)
-- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB)
+- [ ] [Sortowanie przez scalanie (wideo)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB)
-- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB)
+- [ ] [Sortowanie szybkie Quicksort (wideo)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB)
-- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB)
+- [ ] [Sortowanie przez wybieranie (wideo)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB)
 
 - [ ] Merge sort code:
     - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c)
@@ -799,7 +799,7 @@ Jeśli potrzebujesz więcej informacji na ten temat, zobacz sekcję "Sortowanie"
 
 ## Grafy
 
-Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were.
+Grafy mogą być wykorzystane do przedstawienia wielu problemów w informatyce, więc ta sekcja jest długa, podobnie jak drzewa i sortowanie.
 
 - Uwagi:
     - Są 4 podstawowe sposoby reprezentacji grafu w pamięci:
@@ -823,7 +823,7 @@ Graphs can be used to represent many problems in computer science, so this secti
     - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (wideo)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
     - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (wideo)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
 
-- [ ] Graphs (review and more):
+- [ ] Grafy (review and more):
 
     - [ ] [6.006 Single-Source Shortest Paths Problem (wideo)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
     - [ ] [6.006 Dijkstra (wideo)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb)
@@ -838,7 +838,7 @@ Graphs can be used to represent many problems in computer science, so this secti
     - [ ] [Greedy Algorithms: Minimum Spanning Tree (wideo)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
     - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (wideo)](https://www.youtube.com/watch?v=RpgcYiky7uw)
 
-- Full Coursera Course:
+- Pełny kurs Coursera:
     - [ ] [Algorithms on Graphs (wideo)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome)
 
 - I'll implement:
@@ -857,7 +857,7 @@ Graphs can be used to represent many problems in computer science, so this secti
         - [ ] list strongly connected components
         - [ ] check for bipartite graph
 
-## Więcej wiedzy
+## Znów więcej wiedzy
 
 - ### Rekursja
     - [ ] Stanford lectures on recursion & backtracking:
@@ -870,38 +870,38 @@ Graphs can be used to represent many problems in computer science, so this secti
         - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad)
         - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc)
 
-- ### Dynamic Programming
+- ### Programowanie dynamiczne
-    - You probably won't see any dynamic programming problems in your interview, but it's worth being able to recognize a problem as being a candidate for dynamic programming.
+    - Prawdopodobnie nie będziesz mieć programowania dynamicznego podczas swojej rekrutacji, ale warto umieć rozpoznawać problem, jako kandydata na ten właśnie rodzaj.
     - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky.
     - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved.
     - [ ] Videos:
         - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see
         - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718)
         - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749)
-        - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406)
+        - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (wideo)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406)
-        - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22)
+        - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (wideo)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22)
-        - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558)
+        - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (wideo)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558)
-        - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
+        - [ ] [Simonson: Dynamic Programming I - Lecture 11 (wideo)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
-        - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12)
+        - [ ] [Simonson: Dynamic programming II - Lecture 12 (wideo)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12)
         - [ ] List of individual DP problems (each is short):
-            [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr)
+            [Dynamic Programming (wideo)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr)
     - [ ] Yale Lecture notes:
         - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming)
     - [ ] Coursera:
-        - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem)
+        - [ ] [The RNA secondary structure problem (wideo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem)
-        - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm)
+        - [ ] [A dynamic programming algorithm (wideo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm)
-        - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm)
+        - [ ] [Illustrating the DP algorithm (wideo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm)
-        - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm)
+        - [ ] [Running time of the DP algorithm (wideo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm)
-        - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation)
+        - [ ] [DP vs. recursive implementation (wideo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation)
-        - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment)
+        - [ ] [Global pairwise sequence alignment (wideo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment)
-        - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment)
+        - [ ] [Local pairwise sequence alignment (wideo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment)
 
 - ### Object-Oriented Programming - programowanie obiektowe
-    - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc)
+    - [ ] [Optional: UML 2.0 Series (wideo)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc)
-    - [ ] SOLID OOP Principles: [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A)
+    - [ ] SOLID OOP Principles: [SOLID Principles (wideo)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A)
 
 - ### Wzorce projektowe
-    - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3)
+    - [ ] [Quick UML review (wideo)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3)
     - [ ] Naucz się tych wzorców:
         - [ ] strategy (strategia)
         - [ ] singleton
@@ -920,60 +920,60 @@ Graphs can be used to represent many problems in computer science, so this secti
         - [ ] iterator
         - [ ] composite (kompozyt)
         - [ ] flyweight (pyłek)
-    - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344)
+    - [ ] [Rozdział 6 (Część 1) - Patterns (wideo)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344)
-    - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
+    - [ ] [Rozdział 6 (Część 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (wideo)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
-    - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
+    - [ ] [Rozdział 6 (Część 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (wideo)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)
-    - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07)
+    - [ ] [Series of videos (27 wideo)](https://www.youtube.com/playlist?list=PLF206E906175C7E07)
     - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124)
         - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO.
     - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips)
     - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns)
 
 
-- ### Combinatorics (n choose k) & Probability
+- ### Kombinatoryka (n choose k) & probabilistyka
-    - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U)
+    - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (wideo)](https://www.youtube.com/watch?v=8RRo6Ti9d0U)
-    - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4)
+    - [ ] [Make School: Probability (wideo)](https://www.youtube.com/watch?v=sZkAAk9Wwa4)
-    - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ)
+    - [ ] [Make School: More Probability and Markov Chains (wideo)](https://www.youtube.com/watch?v=dNaJg-mLobQ)
     - [ ] Khan Academy:
         - Course layout:
             - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic)
         - Just the videos - 41 (each are simple and each are short):
-            - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19)
+            - [ ] [Probability Explained (wideo)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19)
 
 - ### NP, NP-Complete and Approximation Algorithms
     - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem,
         and be able to recognize them when an interviewer asks you them in disguise.
     - Know what NP-complete means.
-    - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23)
+    - [ ] [Computational Complexity (wideo)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23)
     - [ ] Simonson:
         - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939)
-        - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
+        - [ ] [NP Completeness II & Reductions (wideo)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
-        - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
+        - [ ] [NP Completeness III (wideo)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm)
-        - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18)
+        - [ ] [NP Completeness IV (wideo)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18)
     - [ ] Skiena:
-        - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508)
+        - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (wideo)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508)
-        - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
+        - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (wideo)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
-        - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
+        - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (wideo)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
-    - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22)
+    - [ ] [Complexity: P, NP, NP-completeness, Reductions (wideo)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22)
-    - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24)
+    - [ ] [Complexity: Approximation Algorithms (wideo)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24)
-    - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
+    - [ ] [Complexity: Fixed-Parameter Algorithms (wideo)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp)
     - Peter Norvig discusses near-optimal solutions to traveling salesman problem:
         - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb)
     - Pages 1048 - 1140 in CLRS if you have it.
 
 - ### Caches
     - [ ] LRU cache:
-        - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M)
+        - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (wideo)](https://www.youtube.com/watch?v=R5ON3iwx78M)
         - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI)
-        - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU)
+        - [ ] [LeetCode - 146 LRU Cache (C++) (wideo)](https://www.youtube.com/watch?v=8-FZRAjR7qU)
     - [ ] CPU cache:
-        - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24)
+        - [ ] [MIT 6.004 L15: The Memory Hierarchy (wideo)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24)
-        - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-)
+        - [ ] [MIT 6.004 L16: Cache Issues (wideo)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-)
 
 - ### Procesy i wątki
-    - [ ] Computer Science 162 - Operating Systems (25 videos):
+    - [ ] Computer Science 162 - Operating Systems (25 wideo):
-        - for processes and threads see videos 1-11
+        - dla procesów i wątków zobacz wideo 1-11
-        - [Operating Systems and System Programming (video)](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c)
+        - [Operating Systems and System Programming (wideo)](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c)
     - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread)
     - Pokrywa:
         - Procesy, wątki, problemy z współbieżnością
@@ -990,21 +990,21 @@ Graphs can be used to represent many problems in computer science, so this secti
         - CPU activity, interrupts, context switching
         - Modern concurrency constructs with multicore processors
         - [Paging, segmentation and virtual memory (wideo)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2)
-        - [Interrupts (wideo)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3)
+        - [Przerwania (wideo)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3)
         - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o)
         - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack)
         - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy.
         - Context switching
             - How context switching is initiated by the operating system and underlying hardware
-    - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M)
+    - [ ] [threads in C++ (series - 10 wideo)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M)
-    - [ ] concurrency in Python (videos):
+    - [ ] współbieżność w Python (wideo):
         - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1)
         - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM)
         - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s)
             - [reference](http://www.dabeaz.com/GIL)
         - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4)
         - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU)
-        - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY)
+        - [ ] [Muteks w Python](https://www.youtube.com/watch?v=0zaPs8OtyKY)
 
 - ### Testowanie
     - Aby pokryć:
@@ -1127,7 +1127,7 @@ Graphs can be used to represent many problems in computer science, so this secti
         - [ ] [Infographic](http://thesecretlivesofdata.com/raft/)
 - [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html)
 - [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html)
-- [ ] Scalability:
+- [ ] Skalowalność:
     - You don't need all of these. Just pick a few that interest you.
     - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4)
     - [ ] Short series: